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Trajectory Planning for UAVs Equipped With RISs to Provide Aerial LoS Service for Mobile Nodes in 5G/Optical Wireless Communication Networks

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Bibliographic Details
Title: Trajectory Planning for UAVs Equipped With RISs to Provide Aerial LoS Service for Mobile Nodes in 5G/Optical Wireless Communication Networks
Authors: Eskandari, Mohsen, Savkin, Andrey
Source: IEEE Transactions on Vehicular Technology. 72:8216-8221
Publisher Information: Institute of Electrical and Electronics Engineers (IEEE), 2023.
Publication Year: 2023
Subject Terms: anzsrc-for: 4605 Data Management and Data Science, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4602 Artificial Intelligence, 4605 Data Management and Data Science, anzsrc-for: 40 Engineering, 46 Information and Computing Sciences, 4602 Artificial Intelligence, anzsrc-for: 4006 Communications Engineering, 7 Affordable and Clean Energy, anzsrc-for: 09 Engineering, anzsrc-for: 08 Information and Computing Sciences, 4006 Communications Engineering, anzsrc-for: 10 Technology, 40 Engineering
Description: Modern wireless communication systems are limited to line-of-sight (LoS) links due to high path loss and blockage issues in millimeter wave (5G) and beyond in optical/visible light communication networks. This letter proposes utilizing (optical) reconfigurable intelligent surface (RIS)-equipped UAV (RISeUAV) to support indirect aerial LoS (ALoS) links for mobile vehicles that deliver critical metropolitan emergency/security services. The RISeUAV performs as an aerial transponder and reflects optical and wireless communication signals in dense urban areas. The navigation problem of the RISeUAV is nontrivial where RISeUAV should be autonomously navigated through an energy-efficient obstacle-free path. Notably, the flight altitude should be relatively low to ensure the quality of ALoS service while the maximum possible ALoS links for vehicles are provided in an obstructed environment. However, designing the flight path for rendering valid ALoS service is an NP-hard problem that is not feasible in real-time for autonomous navigation. We model the RISeUAV navigation as an optimization problem and propose an efficient technique to make the problem computationally tractable in real-time using Benders’ decomposition method and sequential convex programming. Simulation results validate the effectiveness of the proposed method.
Document Type: Article
File Description: application/pdf
ISSN: 1939-9359
0018-9545
DOI: 10.1109/tvt.2023.3243701
Rights: IEEE Copyright
CC BY
Accession Number: edsair.doi.dedup.....c048a47da90a273829256498a6628696
Database: OpenAIRE
Description
Abstract:Modern wireless communication systems are limited to line-of-sight (LoS) links due to high path loss and blockage issues in millimeter wave (5G) and beyond in optical/visible light communication networks. This letter proposes utilizing (optical) reconfigurable intelligent surface (RIS)-equipped UAV (RISeUAV) to support indirect aerial LoS (ALoS) links for mobile vehicles that deliver critical metropolitan emergency/security services. The RISeUAV performs as an aerial transponder and reflects optical and wireless communication signals in dense urban areas. The navigation problem of the RISeUAV is nontrivial where RISeUAV should be autonomously navigated through an energy-efficient obstacle-free path. Notably, the flight altitude should be relatively low to ensure the quality of ALoS service while the maximum possible ALoS links for vehicles are provided in an obstructed environment. However, designing the flight path for rendering valid ALoS service is an NP-hard problem that is not feasible in real-time for autonomous navigation. We model the RISeUAV navigation as an optimization problem and propose an efficient technique to make the problem computationally tractable in real-time using Benders’ decomposition method and sequential convex programming. Simulation results validate the effectiveness of the proposed method.
ISSN:19399359
00189545
DOI:10.1109/tvt.2023.3243701